Data Architect Mgr

Lockheed Martin Corporation; Alaska; On-site; USD 185,000 - 344,000; Full time

Benefits offered by this job

Medical

Dental

Vision

Flexible work arrangements (e.g., 4x10

401(k) match

Paid time off

Holidays

Parental Leave

EAP

Flexible Spending Accounts

Education Assistance

Life Insurance

Short-Term Disability

Long-Term Disability

Job summary

Lockheed Martin’s Data and AI Enablement organization seeks a manager for the Enterprise Control Tower’s technical team to lead the build of the corporation’s data foundation enabling AI agents across cross-functional analytics apps. You will set strategy, manage customer relationships, and guide data product development and ontologies while overseeing engineering operations and talent growth.

You will influence stakeholders, drive value through technology, and ensure delivery of critical data

Qualifications

• 8+ years in data engineering/analysis/science with at least 2 years in management
• 3+ years delivering concrete business value through ownership of portions of an enterprise data platform
• Proven ability to influence stakeholders and motivate action via strong communication and relationship building
• Demonstrated strategic thinking to solve programmatic issues
• Demonstrated ability to optimize engineering operations and plans

Responsibilities

• Collaborate with partners to create enterprise data products and ontologies delivering maximum value
• Build relationships with stakeholders to secure support for the team’s mission
• Ensure data product alignment with enterprise ontology standards and guardrails
• Develop validation tests for data products and ontologies
• Identify and mitigate technical risks and plan strategies to overcome obstacles
• Lead technical designs and governance of the Enterprise Control Tower suite
• Optimize team operations to maximize quality, efficiency, and on-time delivery
• Plan and manage budgets and staffing
• Identify and hire new talent for the team
• Must be a US citizen

Skills

Stakeholder management

Strategic thinking

Engineering operations

Data engineering

Leadership

Education

Bachelor’s degree in Computer Science/Systems Engineering/Information Management

Master’s degree or advanced technical training

Tools

Databricks

Medallion data architectures

Job description

Standard Job Description

Join LockheedMartin’s Data and AI Enablement organization and accelerate the company’s AI transformation. As the manager of the Enterprise Control Tower’s technical team, you will play a key role in leading the build of the corporation’s data foundation to enable use of AI agents in some of our most important cross‑functional analytics applications. You will develop strategy for the team’s operations, manage customer relationships, lead the creation and deployment of critical data products, support the build and operationalization of application ontologies, oversee the team’s engineering operations and manage and grow our organization’s talent. If you have a passion for making business impact through cutting‑edge technology, this role is for you.

Key Responsibilities

• Work with functional partners to create enterprise data products and ontologies that provide maximal value to the corporation.
• Build relationships with key stakeholders to ensure their support for the team’s mission.
• Ensure data product alignment with enterprise ontology standards and guardrails.
• Work with functional partners to produce validation tests for data products and enterprise ontologies.
• Identify/report/mitigate technical risks and develop strategies to enable team to overcome obstacles in building the corporation’s data foundations.
• Manage technical requirements, lead technical designs, lead technical governance of overall Enterprise Control Tower suite of applications.
• Optimize team operations to maximize quality and efficiency, and to ensure delivery deadlines are met.
• Plan and manage application budgets and staffing.
• Optimize the work experience of our team’s architects and engineers, and enable them to grow their careers in the directions they wish.
• Identify and hire new talent for the team.
• Must be a US citizen

Basic Qualifications

• Bachelor’s (or higher) in Computer Science, Systems Engineering, Information Management, or a related field.
• 8+years of experience working in data engineering/analysis/science, with at least2years of experience working in management.
• 3+years of experience delivering concrete business value through technical ownership of portions of an enterprise data platforms.
• Proven ability to influence stakeholders and motivate action through superior communication and relationship building skills
• Demonstrated ability to apply strategic thinking to solve programmatic issues.
• Demonstrated ability to deliver business value through optimizing engineering operations and plans.

Desired Skills

• Experience in Operations or Supply Chain business functions.
• Experience productizing data sets for enterprise consumption.
• Experience operationalizing ontologies, taxonomies, or knowledge graphs that enable AI agent operations.
• Experience facilitating cross‑functional workshops.
• Experience with use case‑driven software development.
• Excellent interpersonal and collaboration skills for cross‑functional teamwork and internal‑customer support.
• Master’s degree or advanced technical training.
• Experience with Databricks and/or medallion data architectures.
• Experience implementing data access controls in complex systems.
• Hands‑on experience using genAI to solve business problems.

Pay Information

GeoZone Definition: GeoZones are geographic groupings created by Lockheed Martin to align compensation ranges with regional labor markets and cost‑of‑labor differences across the United States. Locations are assigned a Geo Zone based on the primary work location of the role.

• Full‑time salary range (GEOZONE 1): $185400.00 - $344400.00
  • Includes metropolitan areas such as Sunnyvale CA; Pal Alto, CA; New York City metropolitan area; Newark, New Jersey; etc.
• Full‑time salary range (GEOZONE 2): $166900.00 - $309900.00
  • Includes metropolitan areas such as Denver, CO; King of Prussia, PA; Stratford, CT; Moorestown, NJ; etc.
• Full‑time salary range (GEOZONE 3): $148300.00 - $275500.00
  • Includes metropolitan areas such as Dallas–Fort Worth, TX; Orlando, FL; Grand Prairie, TX; Marietta, GA; etc.
• Full‑time salary range (GEOZONE 4): $133500.00 - $247900.00
  • Includes metropolitan areas such as Camden, AR; Lexington, KY; Lufkin, TX; etc.

At Lockheed Martin, we know mission success starts with taking care of our people. Our Total Rewards program is designed to attract top talent, support your well‑being, and help you grow—both professionally and personally.

The salary range for this position is as listed on the requisition. Please note that the salary information listed is a general guideline only.

Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market(work location) and business considerations when extending an offer.

Benefits offered

Medical, Dental, Vision, Flexible work arrangements and schedules (e.g., 4x10), 401(k) match, Paid time off, Holidays, Parental Leave, EAP, Flexible Spending Accounts, Education Assistance, Life Insurance, Short‑Term Disability, and Long‑Term Disability.

• Annual short‑term and/or long‑term incentive compensation programs may be offered depending on the position. Payments under these annual programs are not guaranteed and can vary from year to year and are tied to a range of performance metrics.
• For (Washington state applicants only) Non­represented full‑time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.